
\begingroup
\centering
\begin{tabular}{lccccccc}
   \tabularnewline \midrule \midrule
   Dependent Variables:                & PSOE          & PP           & UP            & Cs             & PANES         & ES                   & VOX\\  
   Model:                              & (1)           & (2)          & (3)           & (4)            & (5)           & (6)                  & (7)\\  
   \midrule
   \emph{Variables}\\
   Decrease                            & -0.2920       & 0.1750       & -0.3326       & 0.4568         & 0.1576        & -0.0358$^{***}$      & 0.1534\\   
                                       & (0.2080)      & (0.2024)     & (0.2187)      & (0.2465)       & (0.2225)      & ($1\times 10^{-5}$)  & (0.3224)\\   
   Increase                            & 0.9001$^{**}$ & 0.3108       & -0.4959       & 0.6888$^{**}$  & -0.9857$^{*}$ & -0.0126$^{***}$      & -0.6272\\   
                                       & (0.3178)      & (0.9817)     & (0.8373)      & (0.1473)       & (0.4512)      & ($1\times 10^{-5}$)  & (0.6532)\\   
   \% workers agriculture              & 0.0061        & 0.0172       & 0.0100        & -0.0016        & 0.0038        & 0.0002$^{**}$        & -0.0294\\   
                                       & (0.0165)      & (0.0148)     & (0.0061)      & (0.0143)       & (0.0120)      & ($1\times 10^{-5}$)  & (0.0146)\\   
   \% workers services                 & -0.0052       & 0.0024       & 0.0236$^{**}$ & 0.0067         & -0.0014       & -0.0002$^{**}$       & -0.0345$^{*}$\\   
                                       & (0.0055)      & (0.0163)     & (0.0064)      & (0.0119)       & (0.0041)      & ($1\times 10^{-5}$)  & (0.0144)\\   
   \% unemployed                       & 0.0247        & 0.0471       & -0.0640       & -0.0137        & 0.0400        & -0.0011$^{***}$      & -0.0083\\   
                                       & (0.0279)      & (0.0521)     & (0.0425)      & (0.0153)       & (0.0268)      & ($1\times 10^{-5}$)  & (0.0299)\\   
   $\triangle{}$\% 60 y/o or older     & -0.0505$^{*}$ & 0.1344$^{*}$ & 0.1009        & 0.0667         & -0.0843       & -0.0017$^{***}$      & 0.2088\\   
                                       & (0.0227)      & (0.0607)     & (0.0580)      & (0.0367)       & (0.0524)      & ($1\times 10^{-5}$)  & (0.1200)\\   
   $\triangle{}$\% 16 y/o or younger   & -0.0184       & 0.0071       & 0.0511        & -0.0331$^{*}$  & -0.0576$^{*}$ & $1.2\times 10^{-5}$  & 0.0744$^{**}$\\   
                                       & (0.0123)      & (0.0177)     & (0.0319)      & (0.0108)       & (0.0241)      & ($1\times 10^{-5}$)  & (0.0224)\\   
   (Log) Population                    & -4.667        & 2.044        & 4.028         & -5.633$^{***}$ & 3.368         & -0.0640$^{***}$      & -0.8920\\   
                                       & (2.266)       & (5.108)      & (3.453)       & (0.0234)       & (4.252)       & ($1\times 10^{-5}$)  & (6.156)\\   
   \midrule
   \emph{Fixed-effects}\\
   Municipality                        & Yes           & Yes          & Yes           & Yes            & Yes           & Yes                  & Yes\\  
   Year                                & Yes           & Yes          & Yes           & Yes            & Yes           & Yes                  & Yes\\  
   \midrule
   \emph{Fit statistics}\\
   Observations                        & 40,381        & 40,381       & 40,381        & 32,330         & 34,405        & 7,460                & 32,330\\  
   R$^2$                               & 0.92726       & 0.93890      & 0.83108       & 0.78972        & 0.98395       & 0.99780              & 0.77168\\  
   Within R$^2$                        & 0.00947       & 0.00843      & 0.02130       & 0.01345        & 0.01301       & 0.00226              & 0.00762\\  
   \midrule \midrule
   \multicolumn{8}{l}{\emph{Clustered (Region \& Municipality \& Year) standard-errors in parentheses}}\\
   \multicolumn{8}{l}{\emph{Signif. Codes: ***: 0.01, **: 0.05, *: 0.1}}\\
\end{tabular}
\par\endgroup


